Burgeoning volumes of work and workforce data present organizations with growing opportunities to develop data-driven insights that can significantly shape organizational strategy and success.

When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...

Data was once tangible and tactile. Managing physical files, paper documents, and standard records was relatively straightforward. Today, however, those sources have grown increasingly complex, ...

The AHEAD Institute warehouses large, research-ready databases to meet your project's needs. Many databases are de-identified and using them has been deemed non-human subjects research by the Saint ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In the world of investing, money managers are searching high and ...

Organizations struggle with data sprawl, which limits timely, accurate decision-making. Only 4% of organizations have real-time insights into their data, according to a recent survey conducted by ...

Data integration is the process of combining data from multiple source systems to create unified sets of information for both operational and analytical uses. It's one of the core elements of the ...

Most of the analysis in Chapter 1 is based on the Current Population Survey (CPS). The CPS is collected monthly by the U.S. Census Bureau for the Bureau of Labor Statistics. The survey is the basis ...